Conference On
High-Dimensional Statistics
High-Dimensional Statistics has grown out of modern research activities in diverse fields such as science, technology, and business, aided by powerful computing
Conference On
High-Dimensional Statistics
It encompasses several emerging fields in statistics such as high-dimensional inference, dimension reduction, data mining, machine learning, and bioinformatics.
Conference On
High-Dimensional Statistics
High-dimensional statistical techniques are being integrated into courses in other disciplines to create advanced interdisciplinary programs.
Meet with a Fox Graduate Programs Representative at an Event in Your Area
Next Admissions Event: October 20th – Austin, TX - October 20, 2014 at 4:30 pm

Conference on
High-Dimensional
Statistics

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Schedule

All talks will be given at Alter Hall, 7th floor.

 

Time Event Information
8:30 am – 9:00 am CONTINENTAL BREAKFAST

Opening Remarks by Hai-Lung Dai, Provost and Senior Vice President for Academic Affairs

Introduction by Moshe Porat, Dean, Fox School of Business
9:00 am – 10:30 am Session I: High-Dimensional Statistical Inference
Session Chair:
Stan Altan, Senior Research Fellow, Johnson & Johnson
  • Jianqing Fan: Endogeneity in Ultra High Dimensional Models
  • Liza Levina: Mixed and Covariate-Dependent Graphical Models
10:30 am – 10:45 amCOFFEE BREAK
10:45 am – 12:15 pm Session II: Spatio-Temporal Data Applications
Session Chair:
Kris Ghosh, Vice President of Informatics, Covance
  • Sudipto Banerjee: On Hierarchical Modeling for Massively Scalable Inference from Spatially Oriented Datasets
  • Zoran Obradovic: Learning from High Dimensional Partially Observed Temporal Data
12:15 pm – 1:30 pm LUNCH
Keynote Speaker: Sastry Pantula: Big Data and Opportunities in the International Year of Statistics
  • Introduction by Paul A. Pavlou, Director, PhD Program in Business Administration, Fox School
1:30 pm – 3:00 pm Session III: Computational Algorithms for High-Dimensional Data
Session Chair:
Joseph Heyse, Vice President of Biostatistics, Merck Research Labs
3:00 pm – 3:15 pmCOFFEE BREAK
3:15 pm – 4:45 pm Session IV: Genomic Applications
Session Chair:
Eric Ross, Director, Assistant Vice President of Biometrics and Information Sciences, Fox Chase Cancer Center
  • Mark van der Laan: Targeted Learning with High Dimensional Data
  • John Storey: Cross-Dimensional Inference of Dependent High-Dimensional Data
4:45 pm – 5:00 pmClosing Remarks: Sanat Sarkar, Cyrus H.K. Curtis Professor and Chair, Department of Statistics